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Dr. Julian Francis Miller

(Former)

  1. 2019
  2. 2018
  3. 2017
  4. Reservoir Computing as a model for in materio computing

    Dale, M. N., Miller, J. F. & Stepney, S., 2017, Advances in Unconventional Computing. Adamatsky, A. (ed.). Springer, Vol. 1. p. 533-571

    Research output: Chapter in Book/Report/Conference proceedingChapter

  5. Reservoir Computing in materio with LEDs

    Dale, M. N., Miller, J. F., Stepney, S. & Trefzer, M. A., 2017.

    Research output: Contribution to conferencePaper

  6. 2016
  7. Evolving Carbon Nanotube Reservoir Computers

    Dale, M. N., Miller, J. F., Stepney, S. & Trefzer, M. A., 15 Jun 2016, Unconventional Computation and Natural Computation: 15th International Conference, UCNC 2016, Manchester, UK, July 11-15, 2016, Proceedings. Amos, M. & Condon, A. (eds.). Springer, p. 49-61 13 p. (Lecture Notes in Computer Science; vol. 9726).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  8. Iterative Cartesian Genetic Programming: Creating general algorithms for solving Travelling Salesman Problems

    Ryser-Welch, P., Miller, J. F., Swan, J. & Trefzer, M. A., 1 Jun 2016, EuroGP 2016: Proceedings of the 19th European Conference on Genetic Programming. Heywood, M. I., McDermott, J., Castelli, M., Costa, E. & Sim, K. (eds.). Porto, Portugal: Springer-Verlag, Vol. 9594. p. 294-310 17 p. (LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  9. Reservoir Computing in Materio: An Evaluation of Configuration through Evolution

    Dale, M. N., Stepney, S., Miller, J. F. & Trefzer, M. A., 2016, IEEE Symposium Series on Computational Intelligence (SSCI), 2016 . IEEE

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

  10. 2015
  11. 2014
  12. Practical issues for configuring carbon nanotube composite materials for computation

    Clegg, K. D., Miller, J. F., Massey, K. & Petty, M., 2014, 2014 IEEE Symposium Series on Computational Intelligence: IEEE International Conference on Evolvable Systems - Proceedings. IEEE, p. 61 - 68 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  13. Travelling Salesman Problem Solved ‘in materio’ by Evolved Carbon Nanotube Device

    Clegg, K. D., Miller, J. F., Massey, K. & Petty, M., 2014, Parallel Problem Solving from Nature – PPSN XIII: 13th International Conference, Ljubljana, Slovenia, September 13-17, 2014. Proceedings. Springer International Publishing, Vol. 8672. p. 692-701 10 p. 8672. (Lecture Notes in Computer Science; vol. 8672).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  14. 2013
  15. Fast learning neural networks using Cartesian genetic programming

    Khan, M. M., Ahmad, A. M., Khan, G. M. & Miller, J. F., 9 Dec 2013

    Article in Neurocomputing

  16. Semantic Bias in Program Coevolution

    Seaton, T. A., Miller, J. F. & Clarke, T., 2 Apr 2013, p. 193-204.

    Research output: Contribution to conferencePaper

  17. The Importance of Topology Evolution in NeuroEvolution: A Case Study Using Cartesian Genetic Programming of Artificial Neural Networks

    Turner, A. J. & Miller, J. F., 2013, Research and Development in Intelligent Systems XXX. Bramer, M. & Petridis, M. (eds.). Springer International Publishing, p. 213-226 14 p. (Incorporating Applications and Innovations in Intelligent Systems XXI Proceedings of AI-2013, The Thirty-third SGAI International Conference on Innovative Techniques and Applications of Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceedingOther chapter contribution

  18. 2011
  19. Cartesian Genetic Programming

    Miller, J. F. (ed.), 17 Sep 2011, SPRINGER-VERLAG BERLIN. 344 p. (Natural Computing)

    Research output: Book/ReportBook

  20. Medical Applications of Cartesian Genetic Programming

    Smith, S. L., Walker, J. A. & Miller, J. F., 2011, Cartesian Genetic Programming. Springer

    Research output: Chapter in Book/Report/Conference proceedingChapter

  21. 2010
  22. Evolution and Analysis of a Robot Controller Based on a Gene Regulatory Network

    Trefzer, M. A., Kuyucu, T., Miller, J. F. & Tyrrell, A., Sep 2010, p. 61-72. 11 p.

    Research output: Contribution to conferencePaper

  23. Image Compression of Natural Images using Artificial Gene Regulatory Networks

    Trefzer, M. A., Kuyucu, T., Miller, J. F. & Tyrrell, A., 2010.

    Research output: Contribution to conferencePaper

  24. RBN-World: The hunt for a rich AChem

    Faulconbridge, A., Stepney, S. & Miller, J. F., 2010, p. 261--268.

    Research output: Contribution to conferencePaper

  25. 2009
  26. A Model for Intrinsic Artificial Development Featuring Structural Feedback and Emergent Growth

    Trefzer, M. A., Kuyucu, T., Miller, J. F. & Tyrrell, A. M., May 2009, p. 301-308. 8 p.

    Research output: Contribution to conferencePaper

  27. Task Decomposition and Evolvability in Intrinsic Evolvable Hardware

    Kuyucu, T., Trefzer, M. A., Miller, J. F. & Tyrrell, A. M., May 2009, p. 2281-2287. 7 p.

    Research output: Contribution to conferencePaper

  28. A Scalable Solution to N-bit Parity via Artificial Development

    Kuyucu, T., Trefzer, M. A., Miller, J. F. & Tyrrell, A. M., 2009, PRIME: PROCEEDINGS OF THE CONFERENCE 2009 PHD RESEARCH IN MICROELECTRONICS AND ELECTRONICS. NEW YORK: IEEE, p. 144-147 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  29. Intelligent agents capable of developing memory of their environment.

    Khan, GM., Miller, JF. & Halliday, DM., 2009, Advances in Modeling Adaptive and Cognitive Systems . e-book available from: http://www2.uefs.br/graco/amacs/, 1 p.

    Research output: Chapter in Book/Report/Conference proceedingChapter

  30. Multiple Network CGP for the Classification of Mammograms

    Voelk, K., Miller, J. F. & Smith, S. L., 2009, APPLICATIONS OF EVOLUTIONARY COMPUTING, PROCEEDINGS. Giacobini, M., Brabazon, A., Cagnoni, S., DiCaro, GA., Ekart, A., EsparciaAlcazar, AI., Farooq, M., Fink, A., Machado, P., McCormack, J., ONeill, M., Neri, F., Preuss, M., Rothlauf, F., Tarantino, E. & Yang, S. (eds.). BERLIN: SPRINGER-VERLAG BERLIN, Vol. 5484 LNCS. p. 405-413 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  31. Obtaining System Robustness by Mimicking Natural Mechanisms

    Zhan, S., Miller, J. F. & Tyrrell, A. M., 2009, p. 3032-3039. 8 p.

    Research output: Contribution to conferencePaper

  32. RBN-World: A Sub-symbolic Artificial Chemistry

    Faulconbridge, A., Stepney, S., Miller, J. F. & Caves, L. S. D., 2009, p. 377-384.

    Research output: Contribution to conferencePaper

  33. The Input Pattern Order Problem II: Evolution of Multiple-Output Circuits in Hardware

    Trefzer, M. A., Kuyucu, T., Miller, J. F. & Tyrrell, A. M., 2009, 2009 IEEE WORKSHOP ON EVOLVABLE AND ADAPTIVE HARDWARE: (WEAH). NEW YORK: IEEE, p. 32-38 7 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  34. 2008
  35. Emergent Instinctive Behaviour in Evolved Neuro-inspired Agents.

    Khan, G. M., Halliday, D. M. & Miller, J. F., 1 Oct 2008.

    Research output: Contribution to conferenceOther

  36. The Input Pattern Order Problem: Evolution of Combinatorial and Sequential Circuits in Hardware

    Trefzer, M., Kuyucu, T., Greensted, A., Miller, J. F. & Tyrrell, A. M., Sep 2008, p. 382-391. 10 p.

    Research output: Contribution to conferencePaper

  37. An Evolutionary System using Development and Artificial Genetic Regulatory Networks

    Zhan, S., Miller, J. F. & Tyrrell, A. M., Jun 2008, p. 815-822. 8 p.

    Research output: Contribution to conferencePaper

  38. A Developmental Gene Regulation Network for Constructing Electronic Circuits

    Zhan, S., Miller, J. F. & Tyrrell, A. M., 2008, p. 177-188. 12 p.

    Research output: Contribution to conferencePaper

  39. Breaking the Synaptic Dogma: Evolving a Neuro-inspired Developmental Network

    Khan, G. M., Miller, J. F. & Halliday, D. M., 2008, SIMULATED EVOLUTION AND LEARNING, PROCEEDINGS. Li, X., Kirley, M., Zhang, M., Green, D., Ciesielski, V., Abbass, H., Michalewicz, Z., Hendtlass, T., Deb, K., Tan, KC., Branke, J. & Shi, Y. (eds.). BERLIN: SPRINGER-VERLAG BERLIN, Vol. 5361 LNAI. p. 11-20 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  40. Cartesian Genetic Programming

    Miller, J. F. & Harding, S. L., 2008.

    Research output: Contribution to conferenceOther

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